Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems最新文献

{"title":"Qualitative traffic analysis using image processing and time-delayed neural network","authors":"S. N. Razavi, M. Fathy","doi":"10.1109/ITSC.2002.1041188","DOIUrl":"https://doi.org/10.1109/ITSC.2002.1041188","url":null,"abstract":"We present an online, feature-based approach to estimate traffic qualitative parameters from a sequence of traffic images. Considering the factor of time and attempting to simulate human behavior, a time-delay neural network is used to determine the traffic status through traffic lanes. The acquired frames are divided into a number of blocks based on number of lanes and road boundary coordinates, which are obtained automatically by a part of the system called the road boundary detection system. Two extracted principal features from each block of a lane which are vehicle detector and movement detector will form the input vector of the neural network. The neural network classifies each lane into a level of traffic congestion. The neural network was previously trained with various traffic and different lighting conditions. Finally a description of traffic scene is obtained using descriptions of all lanes.","PeriodicalId":365722,"journal":{"name":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","volume":"382 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133486526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance comparisons of contention schemes for inter-vehicle communications","authors":"K. Fujimura, T. Hasegawa","doi":"10.1109/ITSC.2002.1041240","DOIUrl":"https://doi.org/10.1109/ITSC.2002.1041240","url":null,"abstract":"In this paper, an autonomous cruising traffic flow simulator including medium access control (MAC) for inter-vehicle communications (IVC) is constructed and the contention schemes are compared by using this simulator. The pure-ALOHA, slotted-ALOHA, and non-persistent CSMA schemes are simulated. The results of simulation show that the non-persistent CSMA is superior to the ALOHA schemes. This superiority becomes stronger with increasing communicating vehicle density. Also, it is shown quantitatively that setting the range of carrier sensing to twice the communication range can reduce the ratio of hidden stations that have a bad influence on the performance of the non-persistent CSMA scheme. In addition, the capture ratio in the IVC is considered in the simulations, and the influence of the capture effect on the performance of each scheme is discussed.","PeriodicalId":365722,"journal":{"name":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134628686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vehicle and object models for robust tracking in traffic scenes using laser range images","authors":"D. Streller, Kay Furstenberg, Dietmayet","doi":"10.1109/ITSC.2002.1041199","DOIUrl":"https://doi.org/10.1109/ITSC.2002.1041199","url":null,"abstract":"Detection and modeling of dynamic traffic scenes around a, driving passenger car is the long-term aim of the research project ARGOS at the University of Ulm. Each object close to the own car should be modeled and tracked using a specific individual dynamic model. The object classification is based on the geometric outlines and the dynamic behavior. For any sensor combinations usable to detect the environment, the velocity of the objects can be measured relatively to the movement of own vehicle. To. get the absolute velocity of the objects, the motion of the own vehicle must be measured for which the well know bicycle model is used. This ego-model is fed by sensor signals provided anyway by ABS, ASR or ESP. To eliminate the own motion from the object measurements, several coordinate transformations are required in the different stages of data processing. A proposal is given on how to solve this problem when using a laser range finder as a sensing device. Moreover, a simple object model is introduced for this task in order to save processing power. The algorithms can extended towards a multihypothesis approach which will result a more robust classification and tracking algorithm.","PeriodicalId":365722,"journal":{"name":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","volume":"7 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124462612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The multicommodity maximal covering network design problem","authors":"K. Viswanath, S. Peeta","doi":"10.1109/ITSC.2002.1041269","DOIUrl":"https://doi.org/10.1109/ITSC.2002.1041269","url":null,"abstract":"We introduce the multicommodity maximal covering network design problem (MCNDP) in the context of determining critical routes for earthquake management. We seek low cost routes that cover the maximum population while satisfying budget constraints introduced by the need to retrofit bridges on the critical routes. The MCNDP seeks the subnetwork that minimizes the total routing cost and maximizes the total demand covered for a pre-determined set of origin-destination (O-D) pairs subject to budget constraints. An integer programming formulation of the MCNDP is presented. It is applied to an earthquake management problem in southwestern Indiana. Insights on the model are illustrated by evaluating the tradeoffs between the two objectives over a range of budget values.","PeriodicalId":365722,"journal":{"name":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125557013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self sustaining traffic management system and its compartmental modeling","authors":"S. Kher, S. Tokekar, P. Chande","doi":"10.1109/ITSC.2002.1041293","DOIUrl":"https://doi.org/10.1109/ITSC.2002.1041293","url":null,"abstract":"Traffic management systems rely on extensive communication and centralized information processing. They are capital intensive, prone to failures and require management of the communication network. In the present work, we propose a self sustaining traffic management system which is inherently distributed in nature. The approach incorporates intelligent vehicles and roadside beacons, with limited communication for congestion control. A compartmental model is used to study the behaviour of the system. It is shown that the approach is effective in mitigating the congestion on the road in a network large or small, if alternate paths to divert the traffic are available. The method can be easily used with an existing signalling arrangement and if required with a centralized congestion control system.","PeriodicalId":365722,"journal":{"name":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128072824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shock wave elimination/reduction by optimal coordination of variable speed limits","authors":"P. Breton, A. Hegyi, B. Schutter, H. Hellendoorn","doi":"10.1109/ITSC.2002.1041219","DOIUrl":"https://doi.org/10.1109/ITSC.2002.1041219","url":null,"abstract":"We present a model predictive control (MPC) approach to optimally coordinate variable speed limits for highway traffic. The basic idea is that dynamic speed limits con create traffic conditions where shock waves can damp out faster. The control objective is to minimize the total time that vehicles spend in the network. For the prediction of the evolution of the traffic flows in the network we use an adapted version of the METANET model that takes the variable speed limits into account. The coordinated control results in a network with less congestion, a higher outflow, and a lower total time spent. In addition, the receding horizon approach of MPC results in an adaptive, online control strategy that automatically takes changes in the system parameters into account.","PeriodicalId":365722,"journal":{"name":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125489143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Method of displaying character and symbol in on-board display","authors":"S. Shirai, Yoshinari Matsunaga, T. Nakano, S. Yamamoto","doi":"10.1109/ITSC.2002.1041231","DOIUrl":"https://doi.org/10.1109/ITSC.2002.1041231","url":null,"abstract":"The given time to look at an on-board display in a car is so limited from the viewpoint of safe driving. Hence, visibility of the on-board display should be more excellent than the ordinary display. This report describes an appropriate method for displaying characters and symbols with an automotive display. Under the condition of a constant surrounding illuminance, the visibility of characters and symbols depends on the character complexity and the viewing distance. In this method, the character complexity is represented by the two dimensional frequency (linear density), which is associated with the driver's visual acuity and the viewing distance. Then, the appropriate character size is determined based on the spatial frequency properties. Experiments show that this method was very effective on improving the display visibility.","PeriodicalId":365722,"journal":{"name":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132376002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated decision support system designed for Chinese city public transportation planning and operation","authors":"X.M. Yang, X.W. Chen","doi":"10.1109/ITSC.2002.1041324","DOIUrl":"https://doi.org/10.1109/ITSC.2002.1041324","url":null,"abstract":"Giving the priority to the development of public transportation is the basic content of the Chinese city transportation development strategy. In recent decades of years, hundreds; of Chinese cities have made public transportation system planning. Some of them even have made the public transportation operation and scheduling optimization. The practice of these cities made it clear that an integrated decision support system for urban public transportation planning and operation is in great of need. This paper brings forward an integrated systematic frame for the needs of Chinese city public transportation planning and operation, and it also makes the structural design for the public transportation database of the integrated system. The system will be of great benefit to improve the public transportation planning and operational level and accelerate the development of public transportation.","PeriodicalId":365722,"journal":{"name":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130643092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative appraisal of adaptive ANN-based freeway incident detection models","authors":"Xin Jin, D. Srinivasay, Ruey Long Chou","doi":"10.1109/ITSC.2002.1041307","DOIUrl":"https://doi.org/10.1109/ITSC.2002.1041307","url":null,"abstract":"Ahslroct A number o/arl$cial newal network (2 \")-based incidenl dclcclion models hove been tested independenlly over IIrr post decade. This paper aim lo evalrmle the incidenl derectlon capabilities of Ihree pronfismg ANN-bawd delectlon models. These rnodels were developed on an original freeway sile ln Singapore ond fhcn adapted lo a tiew freeway sile in Cal!fornla Aparl/ron h i r inclden1 deleclion peflonitances, their adapfaflon slmfegies and network sizes have also been conpared Resulls of this study show that allhough sulli-layer /ced-jonUard (MLF) models I r m lhe best lacident defection pejornrance on the development sile. conslniclivc probabillslic neural network (CPh'N) niodcls are most adaplable and epclent. Moreover, CPNN ,nodel lrns a rnsclr srnaller network size, making 11 enslrr lo ln,plen~enl il /or real-lime applicofion. The reslrlts ruggrsr lhal CPNN nwdel has lk highesr polenlid for use in an operattonal automatic incident detection splemJ0r freeways. hi frccwny traffic monitoring and conlml, an itnportnttl ndivily is lhc detection and VCrificSliM of incidcnts. In tcchnicnl terms, incidents ore defined ns randoin a i d non-recurring events such as accidents. disablcd vehicles, spilled loads, temporary maintenance and construction acfivitics, and othcr unusual events that dismnt lhc oomnl flow of traffm A-urate and earlv Artificial neural nehvorks have been widely applied to numerous pattern recognition problems including freeway incident detection A review of existing literature shows that neural network-bnscd incident detection models were developed mainly based on multi-layer feed-forward n e u d network (MLF) and adaptive resonance theory (ART). These works included tho pioncering work using MLF [3.4], 11s well as other works using MLF and Fuzzy' Logic [7,8.9]. Fmm these works, it is evidmt that MLF has definite advantages over conventional incident detection teohniqucs in providing a high detection rats and a low fdse alarm rate. However, the MLF is limited by its model adaptation capability. Once trained, the MLF is unable to give similarly goad performance when presented with data fmm another site that has different traffic patterns. This hns motivated sevsral recent studies to explore new neural network models that have higher adaptation capability, while at the W I","PeriodicalId":365722,"journal":{"name":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128074922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamical route-planning for vehicles based on global traffic information and communication","authors":"T. Fukuda, K. Takefuji, Y. Ikemoto, Y. Hasegawa","doi":"10.1109/ITSC.2002.1041275","DOIUrl":"https://doi.org/10.1109/ITSC.2002.1041275","url":null,"abstract":"In this paper, we propose an effective transport system using global information VICS and local information IVC. The VICS (vehicle information and communication system) which is one of the intelligent transport systems, has been developed to release the traffic jam. The VICS is able to give real-time global information to drivers and help drivers to find the fastest route. However, a spatial oscillation of traffic jam will happen, known as hunting phenomena. On the other hand, IVC (inter vehicle communication) is a developing technology which enables cars to give and receive various information by optical communication, millimeter electromagnetic waves and so on. We first investigate the relationship between hunting phenomena and the VICS user ratio, and then realize an effective transport system, in which each car selects a different route and communicate with others by IVC.","PeriodicalId":365722,"journal":{"name":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132285339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}